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Website https://servizi-esterno.math.unipd.it/userlist/lista/view?id=185 Requirements Additional Information Eligibility criteria • Excellent degree (Master of Science or equivalent) in Computer Science
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transferability. Data pipelines for structured and unstructured data (images, text, social media, retail data) will be designed and validated on real-world case studies. Where to apply Website https
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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skills workshops, and international conferences. For more information about the project and consortium see https://secresy4you.eu/ Where to apply Website https://www.math.unipd.it/news/selection
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Science, physics, mathematics, engineering or a related discipline Strong Python skills Experience with modern deep-learning architectures The ability to properly report, organize and publish research data
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cardiovascular focus. Proven expertise in RNA-Seq and integrative multi-omics analysis and interpretation. Proficiency in R, Python, or similar programming languages. Experience in using omics data to provide
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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and/or Python Ability to work in a challenging and international environment COMPENSATION PACKAGE A yearly gross salary up to 35.000 EUR Private health care coverage depending on your role and contract
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English. The candidate should